Systematic approach to new product development

This article presents a comprehensive product development methodology which systematically guides a product development team to develop products which meet or exceed stakeholders' expectations with efficient use of company's resources.     

An integrated component design approach to the development of a design information system for customer-oriented product design

In product design, the designer must draw upon many different types of information including both product-user requirements and design developments in related fields. As each designer has his/her own subjective opinion, an appropriate link between the user requirements and design features must be carefully developed to generate the most suitable design recommendation.The objective of this research is to develop a component design approach for the generation and evaluation of feasible design alternatives to help designers make the most effective design decisions. The development of the approach is based on the concept of component design and interaction links between user requirements and design output parameter values so that the design alternatives can be generated. A confidence interval for order statistics is then used to determine if enough unique feasible design alternatives have been generated. The research is presented in conjunction with a ballpoint pen design to demonstrate the feasibility and advantages of this approach.The results should provide designers with a useful method for the development of a design information system that will efficiently generate and evaluate a set of feasible design alternatives in product design process.     

A new concept of compatibility structure in new product development

Notwithstanding the existence of few publications addressing the compatibility issues in new product development, an axiomatic basis supporting this literature and driving new contributions to the subject is still lacking. In this paper, we propose a definition of a compatibility structure that lays down the foundations of an axiomatic basis for modelling compatibility in new product development. Regarding the number of conditions comprised in this definition, a minimal representation of compatibility structure is proposed to ease the use and manipulation of a compatibility structure. The definition of compatibility structure and its minimal representation are inspired by those of preference structure in preference modelling. The similarities and dissimilarities between preference structures and compatibility structures are emphasized. The construction and the characterization of a compatibility structure without incomparability using the proposed definition are provided. In this paper, we also propose a method to evaluate the crisp compatibility relations between two alternatives with respect to attributes/criteria. The compatibility relations are evaluated by investigating the impact that an alternative has on another, and vice-versa with respect to a single attribute/criterion. Future research related to the compatibility structure proposed in this paper is described.     

An integrated semantic-based approach in concept based video retrieval

Multimedia content has been growing quickly and video retrieval is regarded as one of the most famous issues in multimedia research. In order to retrieve a desirable video, users express their needs in terms of queries. Queries can be on object, motion, texture, color, audio, etc. Low-level representations of video are different from the higher level concepts which a user associates with video. Therefore, query based on semantics is more realistic and tangible for end user. Comprehending the semantics of query has opened a new insight in video retrieval and bridging the semantic gap. However, the problem is that the video needs to be manually annotated in order to support queries expressed in terms of semantic concepts. Annotating semantic concepts which appear in video shots is a challenging and time-consuming task. Moreover, it is not possible to provide annotation for every concept in the real world. In this study, an integrated semantic-based approach for similarity computation is proposed with respect to enhance the retrieval effectiveness in concept-based video retrieval. The proposed method is based on the integration of knowledge-based and corpus-based semantic word similarity measures in order to retrieve video shots for concepts whose annotations are not available for the system. The TRECVID 2005 dataset is used for evaluation purpose, and the results of applying proposed method are then compared against the individual knowledge-based and corpus-based semantic word similarity measures which were utilized in previous studies in the same domain. The superiority of integrated similarity method is shown and evaluated in terms of Mean Average Precision (MAP).     

An integrated CSCW architecture for integrated product/process design and development

Computer Supported Collaborative Work (CSCW) is increasingly being used by engineering design teams to reach a consensus on a range of design issues. CSCW systems are designed to increase the effectiveness of decision-makers by facilitating information exchange, retrieval, sharing and use. They encourage interactive information exchange and have the potential to reduce diseconomies associated with design activities, member dominance, social pressure, inhibition of expression, and other difficulties encountered by project teams. The use of CSCW is expected to have a favorable impact on the group decision-making process and the quality of the resulting decision. In this paper, a general CSCW architecture has been developed to support integrated product/process design and development will be presented. The architecture has been tested extensively on a representative industrial problem. The case study and evaluation of the architecture will also be discussed in this paper. The integrated architecture will facilitate information access, sharing, and analysis among design teams members using the open World Wide Web platforms and resources to make product/process decisions.     

Operations and support cost model for new product concept development

Predicting the Life Cycle Cost (LCC) of a proposed new product during its concept development phase is required for two reasons. First, it is necessary to demonstrate to either a potential customer (e.g. Government financed programs) or to corporate management that the cost of owning the new product and its value to the owner justify further development. Second, LCC is the basis for trade studies between various engineering alternatives that must be made early in the program in order to avoid wasteful research in nonproductive areas.

The most significant portion of LCC is usually the Operating and Support (O&S) cost and yet this is the most difficult cost to predict. Operating and support costs include all costs incurred by their owner between initial purchase and discard or salvage. These costs must be predicted by parametric methods and inflated and/or discounted to their applicable years by means of Engineering Economic Analysis techniques. Separate models must be made for each engineering alternative and the costs converted to a common base (i.e. “now” dollars) for comparison.

Martin Marietta, working under contract to the U.S. Navy's Advanced Antiair warfare Working Group (AAWG), has developed a simple O&S cost model to solve this complex problem. The model consists of a three dimensional matrix using LOTUS 1-2-3 software on an IBM PC or PC compatible computer. The model is flexible and detailed enough to be useful in many diverse applications and simple enough to be exercised quickly and at minimum cost.     

Optimal resource allocation in new product development projects: a control-theoretic approach

Considers problems motivated by the dynamic allocation of limited heterogeneous resources in new product development (NPD) projects. The interchangeability of resources and simultaneous resource sharing are defining characteristics of NPD processes. A continuous flow model is introduced that incorporates these features. For problems without activity precedence constraints, a linear program is presented which yields the minimum completion time for all activities. A dynamic, rule-based algorithm is shown to be optimal for two resources processing a multiple-activity arrival stream. For problems with precedence constraints, some special cases are solved, and structural properties of the class of optimal controls for the general problem are discussed.     

An integrated product and process development methodology: Concept formulation

Life cycle engineering, or integrated product and process development (IPPD), is a new trend of research and application in industry and academia. In our previous work, a generic framework was proposed to provide a means for an integrated consideration of the performance optimization issues in a product’s lifetime. Based on this generic framework, this paper proposes and presents an integrated product and process development methodology. Important concepts of the methodology are introduced, and an application procedure is provided to illustrate the systematic application of the methodology to real product and process development. Finally, we provide a brief report of our application of the methodology to personal computer development.     

A new approach for selecting portfolio of new product development projects

The most decisive factor that survives enterprises under stiff competition is the development of new product (NPD), and when entering the product development stage after the fuzzy front end, a best project portfolio should be finalized in order to potentially create expected revenue and competitive advantage. However, even it reaches the end of the fuzzy front stage; the NPD project is still significantly involved with uncertainties, complexities and fuzziness. To assist R&D managers making decision in this environment, this study proposes a new approach which combines fuzzy set theory and multi-criteria group decision making method into a NPD project portfolio selection model. This model takes into account project performance, project delivery and project risk, and formulates the selection decision of NPD project portfolio as a fuzzy linear programming problem. The illustrative example shows that the model proposed can generate projects with the highest success rate under limited resources and manpower.     

Modeling customer satisfaction for new product development using a PSO-based ANFIS approach

When developing new products, it is important to understand customer perception towards consumer products. It is because the success of new products is heavily dependent on the associated customer satisfaction level. If customers are satisfied with a new product, the chance of the product being successful in marketplaces would be higher. Various approaches have been attempted to model the relationship between customer satisfaction and design attributes of products. In this paper, a particle swarm optimization (PSO) based ANFIS approach to modeling customer satisfaction is proposed for improving the modeling accuracy. In the approach, PSO is employed to determine the parameters of an ANFIS from which better customer satisfaction models in terms of modeling accuracy can be generated. A notebook computer design is used as an example to illustrate the approach. To evaluate the effectiveness of the proposed approach, modeling results based on the proposed approach are compared with those based on the fuzzy regression (FR), ANFIS and genetic algorithm (GA)-based ANFIS approaches. The comparisons indicate that the proposed approach can effectively generate customer satisfaction models and that their modeling results outperform those based on the other three methods in terms of mean absolute errors and variance of errors.     

An approach to software product testing

An approach is presented that uses the following techniques: automatic test case generation, self-checking test cases, black box test cases, random test cases, sampling, a form of exhaustive testing, correctness measurements, and the correction of defects in the test cases instead of in the product (defect circumvention). The techniques are cost-effective and have been applied to very large products     

An optimum design selection approach for product customization development

Consumer preferences and information on product choice behavior can be of significant value in the development processes of innovative products. In this paper, product customization evaluation and selection model is introduced to support imprecision inherent of qualitative inputs from customers and designers in the decision making process. Focusing on customer utility generation, an optimum design selection approach based on fuzzy set decision-making is proposed, where design attributes priority is identified from customer preferences using an analytical hierarchy process. A multi-attribute analysis diagram is developed to visualize the preference of each attribute from the expert’s group decision. Conjoint analysis is used in the product customization to focus on customer utility generation in terms of multiple criteria. The use of the decision-making method is illustrated with a case example that highlights the utility of the proposed method.     

Predicting product adoption intentions: An integrated behavioral model-inspired multiview learning approach

Mining product adoption intentions from social media could provide insights for many business practices, such as social media marketing. Existing methods mainly focus on text information but overlook other types of data. In light of the Integrated Behavioral Model (IBM), in this study, we argue that it is valuable to consider users’ social connections in addition to postings for identifying product adoption intentions. Based on this rationale, we propose a novel multiview deep learning framework to identify product adoption intentions. Extensive experiments show our proposed approach is effective, and demonstrate the benefit of incorporating social network information for intention identification.     

Risk evaluation of customer integration in new product development under uncertainty

This study mainly focuses on the risk evaluation of customer integration in new product development. Customer integration in product innovation projects has been widely recognized a best practice to enhance innovation success rate and reduces the development cycle time, but it also has many potential risks including loss of know-how, much dependence on customer, and limitation to incremental innovations, etc. Unfortunately, there are few researches about risk evaluation for customer integration which is important to the risk management of the co-innovation process. Further, evaluating customer integration risk involves much subjectivity and vagueness. To manipulate this problem, a novel evaluation approach for assessing customer integration risk under uncertainty is proposed. The novel approach integrates the merit of rough set theory in handling vagueness and the strength of group analytic hierarchy process (GAHP) in modeling hierarchy evaluation. Finally, an application in a project of mobile phone development is provided to demonstrate the application and potential of the methodology.     

An overlapping process model to assess schedule risk for new product development

Faster time-to-market for new products is important for hi-tech corporations to gain premium pricing and higher sales volume. An activity overlapping strategy is a frequently used technique in practice for quicker product launch. However, complex interaction patterns between components and activities increase the chance of unanticipated iterations that may lead to late time-to-market. This paper presents an overlapping process model to analyze the impact of process structure on the lead-time of a complex development project. Information evolution and change sensitivity, which are two major factors for activity overlapping, are considered in the proposed model and a simulation algorithm is developed to analyze the impacts of process structure on the development lead-time. The example of a battle tank simulator project is used to illustrate the proposed approach. The computational experiment shows that the proposed approach allows project managers to design a better process structure to minimize the risk of being late-to-market.     

An integrated approach to high-level information fusion

In today’s fast paced military operational environment, vast amounts of information must be sorted out and fused not only to allow commanders to make situation assessments, but also to support the generation of hypotheses about enemy force disposition and enemy intent. Current information fusion technology has the following two limitations. First, current approaches do not consider the battlefield context as a first class entity. In contrast, we consider situational context in terms of terrain analysis and inference. Second, there are no integrated and implemented models of the high-level fusion process. This paper describes the HiLIFE (High-Level Information Fusion Environment) computational framework for seamless integration of high levels of fusion (levels 2, 3 and 4). The crucial components of HiLIFE that we present in this paper are: (1) multi-sensor fusion algorithms and their performance results that operate in heterogeneous sensor networks to determine not only single targets but also force aggregates, (2) computational approaches for terrain-based analysis and inference that automatically combine low-level terrain features (such as forested areas, rivers, etc.) and additional information, such as weather, and transforms them into high-level militarily relevant abstractions, such as NO-GO, SLOW-GO areas, avenues of approach, and engagement areas, (3) a model for inferring adversary intent by mapping sensor readings of opponent forces to possible opponent goals and actions, and (4) sensor management for positioning intelligence collection assets for further data acquisition. The HiLIFE framework closes the loop on information fusion by specifying how the different components can computationally work together in a coherent system. Furthermore, the framework is inspired by a military process, the Intelligence Preparation of the Battlefield, that grounds the framework in practice. HiLIFE is integrated with a distributed military simulation system, OTBSAF, and the RETSINA multi-agent infrastructure to provide agile and sophisticated reasoning. In addition, the paper presents validation results of the automated terrain analysis that were obtained through experiments using military intelligence Subject Matter Experts (SMEs).     

An integrated approach to facility location problems

An integrated analysis approach to facility location problems is described. The approach is based on integrating analytical location models and a multicriteria decision model.     

An integrated AHP and VIKOR for design concept evaluation based on rough number

Design concept evaluation at the early stage of product design has been widely recognized as one of the most critical phases in new product development as it determines the direction of the downstream design activities. However, the information at this stage is mainly subjective and imprecise which only depends on experts’ judgments. How to handle the vagueness and subjectivity in design concept evaluation becomes a critical issue. This paper presents a systematic evaluation method by integrating rough number based analytic hierarchy process (AHP) and rough number based compromise ranking method (also known as VIKOR) to evaluate design concepts under subjective environment. In this study, rough number is introduced to aggregate individual judgments and preferences and deal with the vagueness in decision-making. A novel AHP based on rough number is presented to determine the weight of each evaluation criterion. Then an improved rough number based VIKOR is proposed to evaluate the design concept alternatives. Sensitivity analysis is conducted to measure the impact of the decision makers’ risk to the final evaluation results. Finally, a practical example is put forward to validate the performance of the proposed method. The result shows that the proposed decision-making method can effectively enhance the objectivity in design concept evaluation under subjective environment.     

An ideation method for generating new product ideas using TRIZ,concept mapping,and fuzzy linguistic evaluation techniques

The quality of initial ideas is considered a critical determinant for successful new product development (NPD). This study presents an ideation method for generating new product ideas. The aims of the proposed method are (1) to clarify and identify potential problems involved in the knowledge domain of the product design through the Su-field enhanced concept mapping diagram; (2) to abstract inventive problems and generate novel product ideas by means of the theory of inventive problem solving (TRIZ) methodology; and, (3) to develop an effective decision aiding method for evaluating alternative ideas and determining promising product ideas using fuzzy linguistic evaluation techniques. The applicability of the ideation method is demonstrated through a case study of an air purifier design. The theoretical and practical implications of the ideation method are also discussed.